Senior Data Scientist

• What will you do
• Understand domain context and conduct exploratory data analysis to determine the best data science approach for the customer.
• Identify how the data science approach can be executed via the product pipeline and any customer specific configurations needed to achieve objectives.
• Train machine learning and deep learning models on large scale time series datasets
• Use data wrangling and exploration to extract insights and relationships from the data
• Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics.
• Identify and measure levers to help move essential metrics and make recommendations.
• Perform accuracy analysis to identify opportunities for performance improvement on specific slices of data and ensure high performance across all slices.
• Develop end to end automated pipelines for use cases like inventory management, price recommendation, demand forecasting etc.

Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems.

Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.